Mapping Anaemia Inequality: A Regional Analysis of Socio- Economic Factors Among Women of Reproductive Age in India
DOI:
https://doi.org/10.22452/ijie.vol18no3.1Keywords:
Anaemia, Multidimensional poverty index, Women of reproductive age, Regional disparitiesAbstract
Anaemia prevalence and regional differences in women of reproductive age in
India are examined using socio-economic, demographic, and cultural parameters. This
research uses National Family Health Survey 5 (NFHS-5) data and the Alkire-Foster
(2011) method to produce the multidimensional poverty index (MPI) for a detailed
region-wise examination. Anaemia is examined in relation to multidimensional poverty,
household characteristics, dietary patterns, healthcare access, and socio-cultural impacts
using descriptive analysis and logistic regression. Anaemia prevalence varies by area,
with East India having the highest rate at 66.65% and the Union Territories the lowest.
Anaemia is significantly correlated with the MPI, showing that regions with high poverty
rates have more anaemics. Anaemia is predicted by multidimensional poverty, rural
residence, food, and prenatal care according to logistic regression. Multidimensionally
poor and rural women are more likely to have anaemia. Anaemia risk decreases with
dietary diversity, especially non-vegetarian meals. This study shows the complex links
between socio-economic, cultural, and regional factors affecting the incidence of anaemia
among Indian women of reproductive age. The findings show that focused initiatives are
needed to alleviate these inequities, especially in disadvantaged regions. These data can
help policymakers combat anaemia and improve women’s health in India.
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